Capturing Interdependencies between Deep Features from Multiple Frames: Exploiting local feature dependencies with others is an important visual clue to identify the event, action and object from visual data. For instance, building a model that can recognize bird parts from a scene such as 'beak', 'tail' and 'wing' can yield a high confidence for the bird classification problem or even for fine-grained category estimation [1]}, [2]}. Therefore, encoding local interdependencies between deep features is essential to obtain a robust content representation. In our model, this step is extended over multiple frames to extract more reliable relational descriptions.
